Google Chat MCP Server
for AI Agents
Connect your AI agent to StackOne's Google Chat MCP server and give it 32 MCP tools out of the box. Auth, tool execution, and security all managed.
StackOne 
Coverage
32 Agent Actions
Create, read, update, and delete across Google Chat — and extend your agent's capabilities with custom actions.
Authentication
Agent Tool Authentication
Per-user OAuth in one call. Your Google Chat MCP server gets session-scoped tokens with zero credentials stored on your infra.
Agent Auth →
Security
Agent Protection
Every Google Chat tool response scanned for prompt injection in milliseconds — 88.7% accuracy, all running on CPU.
Prompt Injection Defense →
Performance
Max Agent Context. Min Cost.
Free up to 96% of your agent's context window to enhance reasoning and reduce cost, on every Google Chat call.
Tools Discovery →What is the Google Chat MCP Server?
A Google Chat MCP server lets AI agents read and write Google Chat data through the Model Context Protocol — Anthropic's open standard for connecting LLMs to external tools. StackOne's Google Chat MCP server ships with 32 pre-built actions, fully extensible via the Connector Builder — plus managed authentication, prompt injection defense, observability, and agent execution runtime. Connect it from MCP clients like Claude Desktop, Claude Code, Cursor, Goose, and VS Code, or from agent frameworks like OpenAI Agents SDK, LangChain, and Vercel AI SDK.
All Google Chat MCP Tools
Every action from Google Chat's API, ready for your agent. Create, read, update, and delete — scoped to exactly what you need.
Spaces
- Create Space
Create a new space
- List Spaces
List spaces where the caller is a member
- Get Space
Get a single space by resource name
- Delete Space
Delete a space
Members
- Create Member
Create a membership for a user or Chat app
- List Members
List memberships in a space
- Get Member
Get a single membership by resource name
- Delete Member
Delete a membership
Messages
- Create Message
Create a message in a space
- List Messages
List messages in a space
- Get Message
Get a single message by resource name
- Update Message
Update an existing message
- Delete Message
Delete a message
Reactions
- Create Reaction
Add a reaction to a message
- List Reactions
List reactions for a message
- Delete Reaction
Delete a message reaction
Custom Emojis
- Create Custom Emoji
Create a custom emoji in the workspace
- List Custom Emojis
List custom emojis visible to the authenticated user
- Get Custom Emoji
Get custom emoji details
- Delete Custom Emoji
Delete a custom emoji
Space Read States
- Get Space Read State
Get user's read state within a space
- Update Space Read State
Update user's read state within a space
Other (10)
- Get Attachment
Get message attachment metadata
- Get Thread Read State
Get user's read state within a thread
- Get Space Notification Setting
Get space notification settings
- Get Current User
Get authenticated user information
- Patch Space
Partially update an existing space (PATCH — only specified fields are updated)
- Find Direct Message
Find existing direct message with a specified user
- Setup Space
Create a space and add specified users
- Patch Member
Partially update a membership (PATCH — only specified fields are updated)
- Patch Message
Partially update a message
- Patch Space Notification Setting
Partially update space notification settings for a user (PATCH — only specified fields are updated)
Set Up Your Google Chat MCP Server in Minutes
One endpoint. Any framework. Your agent is talking to Google Chat in under 10 lines of code.
Agent Frameworks
JSON{
"mcpServers": {
"stackone": {
"command": "npx",
"args": [
"-y",
"mcp-remote@latest",
"https://api.stackone.com/mcp?x-account-id=<account_id>",
"--header",
"Authorization: Basic <YOUR_BASE64_TOKEN>"
]
}
}
}Platform Resources
MCP Code Mode: Keeping Tool Responses Out of Agent Context
Anthropic's code_execution processes data already in context. Custom MCP code mode keeps raw tool responses in a sandbox. 14K tokens vs 500.
11 min
Comparing BM25, TF-IDF, and Hybrid Search for MCP Tool Discovery
Benchmarking BM25, TF-IDF, and hybrid search for MCP tool discovery across 916 tools. The 80/20 TF-IDF/BM25 hybrid hits 21% Top-1 accuracy in under 1ms.
10 min
Indirect Prompt Injection Defense for MCP Tools: A Technical Guide
MCP tools that read emails, CRM records, and tickets are indirect prompt injection vectors. Here's how we built a two-tier defense that scans tool results in ~11ms.
12 min
MCP vs A2A: Architecture, Security, and When to Use Each
MCP vs A2A: what each protocol standardizes, how they differ, their shared security risks including indirect prompt injection, and when to use one, both, or a hybrid architecture.
12 min
MCP vs API: What 200+ Connector Builds Taught Us
MCP wraps APIs, it doesn't replace them. After building 200+ connectors that serve both, here's when each approach wins.
14 min read
Google Chat MCP Server FAQ
Does StackOne have a Google Chat MCP server?
Google Chat MCP server vs direct API integration — what's the difference?
How does Google Chat authentication work for AI agents?
origin_owner_id.Are Google Chat MCP tools vulnerable to prompt injection?
What is the context bloat of a Google Chat agent and how do I avoid it?
Can I limit which actions my Google Chat agent can access?
Can I create custom agent actions for my Google Chat MCP server?
When should I NOT use a Google Chat MCP server?
What AI frameworks and AI clients does the StackOne Google Chat MCP server support?
Put your AI agents to work
All the tools you need to build and scale AI agent integrations, with best-in-class connectivity, execution, and security.